Intelligent Data-Driven Systems and Artificial Intelligence
About the Book Series
About the Book Series
Series Editor: Harish Garg, Thapar Institute of Engineering & Technology (Deemed University), Punjab, India
Editorial Board members:
Prof. Radu-Emil Precup, Department of Automation and Applied Informatics, Romania
Prof. Luis Martínez, University of Jaén, Jaén, Spain
Prof. Yanhui Guo, University of Illinois Springfield, USA
Prof. Dragan Pamucar, University of Defence in Belgrade, Serbia
Prof. Cengiz Kahraman, Istanbul Technical University, Turkey
Prof. Mohammad Yazdi, Macquarie University, Australia
Prof. Nargiz Safarova, Baku State University, Baku, Azerbaijan
Prof. Graçaliz Pereira Dimuro, Federal University of Rio Grande, Brazil
Prof. Jurgita Antucheviciene, Vilnius Gediminas Technical University, Lithuania
Prof. Aslıhan Sezgin, Amasya University, Türkiye.
Online ISSN: 3066-7291
Print ISSN: 3066-7305
About the Series
In today's era, most companies have adopted data-driven policies for operational decision-making. As a result, data-driven decision-making approaches are becoming increasingly important, along with the use of artificial intelligence. The aim of this series is to discuss cutting-edge technologies and explain their significance in terms of models, algorithms, and theoretical concepts related to intelligent data-driven systems and artificial intelligence. The series covers research on various databases and their applications in machine learning, decision-support systems, artificial intelligence, knowledge-based systems, and pattern recognition. It further explores the use of data analytics, meta-heuristic search, planning and scheduling, artificial neural networks, evolutionary computation, and swarm intelligence for intelligent systems. The books published under this series will be valuable for senior graduate students, graduate students, academic researchers, and professionals in the fields of computer engineering, electrical engineering, information technology, and related disciplines.
Salient Features:
- Covers models, algorithms, and theoretical concepts of intelligent data-driven systems and artificial intelligence.
- Explores challenges and issues encountered by the academicians and researchers while working in the field of real-time analytics.
- Showcases books in key areas including cognitive and soft computing-based data-centric operations, pattern recognition, and computer vision.
- Highlights different data-driven systems and artificial intelligence platforms for real-life problems.
Fuzzy Sets and Triangular Norms: Aggregation in Decision-Aided Intelligent Systems
1st Edition
Edited
By Mehmet Ünver, Gökhan Özçelik
July 17, 2026
This book aims to serve as a comprehensive resource that equips readers with the knowledge and practical skills needed to navigate the intricacies of fuzzy set theory, t-norms, and their integration into decision-aided intelligent systems. It provides a comprehensive understanding of aggregation ...
Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies
1st Edition
Edited
By Inam Ullah Khan, Salma El Hajjami, Mariya Ouaissa, Salwa Belaqziz, Tarandeep Kaur Bhatia
June 22, 2026
Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of machine intelligence, artificial intelligence, and cognitive computing. In this book, the authors navigate through the ...
Intelligent Data-Driven Techniques for Security of Digital Assets
1st Edition
Edited
By Arun Kumar Rana, Sumit Kumar Rana, Vishnu Sharma, Ritu Dewan
June 22, 2026
The book covers the role of emerging technologies such as blockchain technology, machine learning, IoT, cryptography, etc., in digital asset management. It further discusses digital asset management applications in different domains such as healthcare, travel industry, image processing, and our ...
Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making: Artificial Intelligence Applications
1st Edition
Edited
By Irfan Ali, Umar Muhammad Modibbo, Asaju La’aro Bolaji, Harish Garg
June 22, 2026
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, ...
Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems
1st Edition
Edited
By Anshu Singla, Sarvesh Tanwar, Pao-Ann Hsiung
May 22, 2026
This book comprehensively discusses the role of cloud computing in artificial intelligence‑based data‑driven systems and hybrid cloud computing for large data‑driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for ...
Artificial Intelligence for Intelligent Systems: Fundamentals, Challenges, and Applications
1st Edition
Edited
By Inam Ullah Khan, Mariya Ouaissa, Mariyam Ouaissa, Muhammad Fayaz, Rehmat Ullah
May 22, 2026
The aim of this book is to highlight the most promising lines of research, using new enabling technologies and methods based on AI/ML techniques to solve issues and challenges related to intelligent and computing systems. Intelligent computing easily collects data using smart technological ...
Data-Driven Modelling with Fuzzy Sets: Embracing Uncertainty
1st Edition
Edited
By Said Broumi, D. Nagarajan, Michael Gr. Voskoglou, S. A. Edalatpanah
May 22, 2026
Zadeh introduced in 1965 the theory of fuzzy sets, in which truth values are modelled by numbers in the unit interval [0, 1], for tackling mathematically the frequently appearing in everyday life partial truths. In a second stage, when membership functions were reinterpreted as possibility ...
Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications
1st Edition
Edited
By B Rajanarayan Prusty, Neeraj Gupta, Kishore Bingi, Rakesh Sehgal
May 22, 2026
This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the ...
Data-Driven Modelling with Fuzzy Sets: A Neutrosophic Perspective
1st Edition
Edited
By Said Broumi, D. Nagarajan, Michael Gr. Voskoglou, S. A. Edalatpanah
May 21, 2026
Fuzzy sets have long been employed to handle imprecise and uncertain information in the real world, but their limitations in dealing with incomplete and inconsistent data led to the emergence of neutrosophic sets. In this thought-provoking book, titled Data-Driven Modelling with Fuzzy Sets: A ...
Modelling of Virtual Worlds Using the Internet of Things
1st Edition
Edited
By Simar Preet Singh, Arun Solanki
May 21, 2026
The text presents aspects of virtual worlds and highlights the emerging trends in simulation and modeling, comprising machine learning, artificial intelligence, deep learning, robotics, cloud computing, and data mining algorithms. It further discusses concepts including multimedia for the Internet ...
Data-driven Decision Making and Soft Computing: Applications and Advances
1st Edition
Edited
By D. Nagarajan, Dragan Pamucar, Zarife Zararsız
May 18, 2026
This book reflects the comprehensive exploration of the intersection between fuzzy decision-making and soft computing. It delves into the theoretical foundations of fuzzy decision-making and soft computing, exploring the underlying principles, algorithms, and mathematical frameworks. The text ...
Artificial Intelligence Techniques in Mathematical Modeling and Optimization
1st Edition
Edited
By Mukesh Kumar Awasthi, Sanoj Kumar, Deepika Saini
April 29, 2026
Artificial Intelligence Techniques in Mathematical Modeling and Optimization offers a dynamic and comprehensive examination of the intersection between artificial intelligence and mathematical modeling. This edited volume brings together innovative research exploring how AI-driven methods ...